1 code implementation • 3 Apr 2024 • Vlas Zyrianov, Henry Che, Zhijian Liu, Shenlong Wang
We present LidarDM, a novel LiDAR generative model capable of producing realistic, layout-aware, physically plausible, and temporally coherent LiDAR videos.
no code implementations • ICCV 2023 • Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang
Despite tremendous advancements in bird's-eye view (BEV) perception, existing models fall short in generating realistic and coherent semantic map layouts, and they fail to account for uncertainties arising from partial sensor information (such as occlusion or limited coverage).
1 code implementation • 8 Sep 2022 • Vlas Zyrianov, Xiyue Zhu, Shenlong Wang
We present LiDARGen, a novel, effective, and controllable generative model that produces realistic LiDAR point cloud sensory readings.